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Resolved object imaging and localization with the use of a backpropagation algorithm

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Abstract

Optical diffusion tomography is an emerging technology that generates images of objects imbedded in turbid media using scattered light. To date, however, most demonstrations of this technology use a sphere or a collection of spheres as the imbedded object. Here we use a backpropagation algorithm and a planar geometry to reconstruct images of resolved objects (airplane models) imbedded in tissue phantoms. In addition, we show that we can locate the resolved objects in three dimensions in the turbid medium using only a single planar view. The imaging system uses diffuse photon density waves produced using kilohertz modulation (that is, essentially dc illumination).

©2000 Optical Society of America

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Supplementary Material (2)

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Figures (4)

Fig. 1.
Fig. 1. Schematic of the laboratory data collection and image reconstruction geometry. The dashed lines indicate the planes where the photon density wave is reconstructed.
Fig. 2.
Fig. 2. (a) Picture of a 747 airplane model imbedded in a tissue phantom. (b) (371 KB) Movie of the three-dimensional reconstructed wave scattered by the airplane model.
Fig. 3.
Fig. 3. (a) Picture of a Japanese Zero airplane model imbedded in a tissue phantom. (b) (231 KB) Movie of the three-dimensional reconstructed wave scattered by the airplane model.
Fig. 4.
Fig. 4. PSF plots: dotted line - Boeing 747 data; dashed line - Japanese Zero data; solid line - optimally reconstructed data.
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